1. Introduction and Goals

This project analyses the LendingClub's loan dataset. The dataset includes loan application data, the information on granted loans and their status. In total {ADD SIZE} loans are included in the dataset.

The goal of this project is build several ML models which can be used to predict:

• Binary loan_status prediction model. We have used XGBoost and CatBoost to build a model which can be used to predict how likely an applicant is to default on a loan based on their information and the loan size, type and other specifics. This model can be used to decide whether the application should be approved or used by a third party investor to estimate risk. The goal of this model is to maximize the quality of probability prediction rather than the classification accuracy itself. In addition to estimating the default likelihood we'll also use this model to estimate:
  • Loan grades (A,B,C etc.) based on probability threshold, this does not directly attempt to predict the grades defined in the dataset but rather can be used as an alternative method to classify loan risk
  • Using this model we'll calculate the profitability and risk of a loan portfolio if only and provide an improved (more restrictive) method of evaluating loan applicants
• loan_grade prediction models, we'll evaluate and compare two different approaches
  • Multi classification model using XGBoost and CatBoost
  • Regression model that attempts to predict grade converted to a normalized numerical variable (predictions are rounded). While using a regression model for a classification problem is not ideal because it ignores the fact that spacing between different classes of ordinal features might differ (e.g. we don't know if the distance between grade A and B is the same as between B and C etc.) {TODO finish}

Data Selection:

To limit the extent of this project we have only included loans which were fully paid back or have been default on by the lender in our analysis based on the loan_status column

1.1 Features

This is a supplement to the main EDA notebook (1.2 EDA) that includes the individual analysis of all numerical and categorical variables. The insights obtained here together with the analysis of interaction between individual variables was used to build the preprocessing pipeline and individual transformers (for feature engineering) that were used when building our models (see the EDA notebook for additional details).

With transform="pandas", `func` should return a DataFrame to follow the set_output API.

	term_parser__term	emp_length_parser__emp_length	target__grade	pass__loan_amnt	pass__int_rate	pass__installment	pass__sub_grade	pass__home_ownership	pass__annual_inc	pass__verification_status	pass__purpose	pass__zip_code	pass__addr_state	pass__dti	pass__delinq_2yrs	pass__fico_range_low	pass__fico_range_high	pass__inq_last_6mths	pass__mths_since_last_delinq	pass__mths_since_last_record	pass__open_acc	pass__pub_rec	pass__revol_bal	pass__revol_util	pass__total_acc	pass__initial_list_status	pass__last_fico_range_high	pass__last_fico_range_low	pass__collections_12_mths_ex_med	pass__mths_since_last_major_derog	pass__application_type	pass__annual_inc_joint	pass__dti_joint	pass__verification_status_joint	pass__inq_fi	pass__inq_last_12m	pass__chargeoff_within_12_mths	pass__mort_acc	pass__pub_rec_bankruptcies	pass__tax_liens	pass__tot_hi_cred_lim	pass__total_bal_ex_mort	pass__loan_status
2086299	36	1.0	0	14000.0	6.08	426.42	A2	MORTGAGE	70000.0	Not Verified	debt_consolidation	176xx	PA	31.10	0.0	800.0	804.0	0.0	NaN	NaN	18.0	0.0	22237.0	32.3	33.0	w	824.0	820.0	0.0	NaN	Joint App	350000.0	8.61	Not Verified	1.0	0.0	0.0	1.0	0.0	0.0	492126.0	78093.0	Current
1233152	60	NaN	4	35000.0	19.52	917.97	E2	MORTGAGE	120000.0	Verified	debt_consolidation	799xx	TX	23.75	1.0	710.0	714.0	3.0	22.0	NaN	11.0	0.0	49315.0	43.7	34.0	f	804.0	800.0	0.0	NaN	Individual	NaN	NaN	None	NaN	NaN	0.0	3.0	0.0	0.0	390414.0	90585.0	Fully Paid
461729	36	10.0	0	10000.0	7.34	310.33	A4	MORTGAGE	70000.0	Not Verified	debt_consolidation	063xx	CT	14.72	0.0	685.0	689.0	0.0	NaN	106.0	6.0	1.0	21943.0	47.5	16.0	w	749.0	745.0	0.0	NaN	Individual	NaN	NaN	None	0.0	0.0	0.0	1.0	1.0	0.0	56200.0	26022.0	Fully Paid
738295	60	10.0	3	21600.0	17.27	539.96	D2	MORTGAGE	96000.0	Verified	debt_consolidation	482xx	MI	15.83	1.0	690.0	694.0	1.0	15.0	NaN	11.0	0.0	14751.0	71.3	32.0	w	639.0	635.0	0.0	42.0	Individual	NaN	NaN	None	3.0	1.0	0.0	3.0	0.0	0.0	242183.0	76547.0	Fully Paid
864585	36	3.0	1	3300.0	10.07	106.60	B2	RENT	22000.0	Verified	other	490xx	MI	2.73	0.0	730.0	734.0	0.0	NaN	NaN	2.0	0.0	680.0	42.5	3.0	w	764.0	760.0	0.0	NaN	Individual	NaN	NaN	None	0.0	0.0	0.0	0.0	0.0	0.0	1600.0	680.0	Current

'Features with NaN Values:'

	Total NaN Values	Proportion NaN (%)
emp_length_parser__emp_length	1325	15.0
pass__dti	2	0.0
pass__mths_since_last_delinq	4587	51.0
pass__mths_since_last_record	7593	84.0
pass__revol_util	4	0.0
pass__mths_since_last_major_derog	6671	74.0
pass__annual_inc_joint	8545	95.0
pass__dti_joint	8545	95.0
pass__verification_status_joint	8556	95.0
pass__inq_fi	3422	38.0
pass__inq_last_12m	3422	38.0
pass__mort_acc	179	2.0
pass__pub_rec_bankruptcies	7	0.0
pass__tot_hi_cred_lim	275	3.0
pass__total_bal_ex_mort	179	2.0

	Total NaN Values	Proportion NaN (%)
pass__verification_status_joint	8556	95.0

count              444
unique               3
top       Not Verified
freq               212
Name: pass__verification_status_joint, dtype: object

set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.

With transform="pandas", `func` should return a DataFrame to follow the set_output API.

1.1 EDA

This is the exploratory analysis of the dataset and includes all the features shown in the (Features) notebook.

The EDA was done in parallel with model design process to minimize the influence analyzing manually analyzing the interaction between features might have had on our model design process.

Data selection

We have three target variables which we'll try to predict using in our following sections. They are shown here as:

• target_loan_status: whether the loan applicant has defaulted on their loan (0 or 1)
• pass_grade: the grade assigned to the loan by the "Lenders Club" (A,B,C,D etc.)
• pass_interest_rate: the interest rate set for the loan (converted to float)

['target__loan_status']

1.1.1 Correlation Matrix

Loan Status has strong correlation with:

• Applicant FICO (credit) score
• Term of the loan (longer loans are somewhat more to be defaulted on)
• While the correlation with the zip_code is almost 0.4 it is not significant (other variables like grade, sub_grade and interest rate are not included in our model because they are calculated based on estimated loan risk, we could still include them if our goal is to verify the quality of "Lenders Club" estimates we chose not to include them to build a "clean" alternative model using the same source data).

Loan Grade and Interest Rate have significant correlations with a much larger number of variables:

• Loan Term
• Loan amount and installment size
• FICO score
• Loan purpose
• Applicant income
• Income verification status etc.

This would indicate that the Lenders Club is trying to use a large number of variables to determine the grade and interest rate but that those variables are not necessarily as useful at predicting the likelihood of default.

Because the datatypes of features vary we had to use different methods to measure the strength and significance of each pair:

- Chi-Squared Test: Assesses independence between two categorical variables.  For bool-bool pairs due to categorical nature.

- Point Biserial Correlation: Measures correlation between a binary and a continuous variable. For bool-numerical pairs to account for mixed data types.

- Spearman's Rank Correlation: Assesses monotonic relationship between two continuous variables. Used for numerical-numerical pairs (for non-normally distributed data).

Since the Chi-Squared test outputs an unbound statistic/value which can't be directly compared to  pointbiserialr or Spearman Rank we have converted them to a  ` Cramér's V:` value which is normalized between 0 and 1. This was done to make the values in the matrix more uniform however we must note that Cramér's V and Spearman's correlation coefficients are fundamentally different statistics and generally can't be directly compared.

1.1.1 Relationships between individual variables

This part includes various charts showing the relationships between specific manually selected variables:

We can see that much fewer grade A and B loans were defaulted on while at C or below the likelihood of default becomes higher than average:

'Default Rate and Expected Return by Grade:'

	default_rate	mean_interest_rate	expected_return
pass__grade
A	0.07	7.09	6.60
B	0.13	10.65	9.24
C	0.22	14.00	10.87
D	0.31	17.79	12.23
E	0.38	21.16	13.03
F	0.50	25.12	12.46
G	0.57	27.74	11.98

The expected_return show the rate of return adjusted by the default rate. e.g. while almost 60% of all G grade loans are defaulted on you can still expect to make ~12% per year because the interest is very high. A grade loans tend to be relatively much less profitable despite the much lower risk.

Text(0.5, 1.025, 'Grade and Interest Rate')

There is quite a bit of overlap between interest rates for lower grades (D+).

Text(0.5, 1.025, 'Grade and Loan Amount')

Text(0.5, 1.025, 'Grade and Annual Income')

As we would expect the applications by individuals who tend to have very low incomes tend to receive lower grades. However, the rate of E grade loans increases significantly along with grade A > ~100k yearly income which is quite interesting and requires additional analysis because this does not apply to loans of other grades (we can see in charts below that the income of ~25% applicants is > 90k so this can't really be explained by random variation due to small sample size)

Text(0.5, 1.025, 'Grade and Fico Score')

Text(0.5, 1.025, 'Default Rate and Interest Rate')

Text(0.5, 1.025, 'Default Rate and Annual Income')

While low income individuals are much more likely to default the risk of default doesen't seems to decrease much or at as income goes up.

Text(0.5, 1.025, 'Loan Amount and Purpose')

term_parser__term: int64
target__loan_status: float64
pass__loan_amnt: float64
pass__int_rate: float64
pass__grade: object
pass__home_ownership: object
pass__annual_inc: float64
pass__purpose: object
pass__fico_range_high: float64
pass__last_fico_range_high: float64

	term_parser__term
1233152	60
461729	36
738295	60
390716	36
350813	60
...	...
701647	36
1093222	36
1231982	36
143267	36
208225	36

5361 rows × 1 columns

term_parser__term_binned             category
term_parser__term                       int64
target__loan_status_binned           category
target__loan_status                   float64
pass__loan_amnt_binned               category
pass__loan_amnt                       float64
pass__int_rate_binned                category
pass__int_rate                        float64
pass__annual_inc_binned              category
pass__annual_inc                      float64
pass__fico_range_high_binned         category
pass__fico_range_high                 float64
pass__last_fico_range_high_binned    category
pass__last_fico_range_high            float64
pass__grade                            object
pass__home_ownership                   object
pass__purpose                          object
dtype: object

None

None

None

None

None

None

None

None

None

None

None

None

None

None

None

None

None

None

'term_parser__term_binned vs pass__fico_range_high No significant difference found (p-value = 0.302)'

None

None

None

None

None

None

None

None

1233152    714.0
461729     689.0
738295     694.0
390716     704.0
350813     694.0
           ...  
701647     719.0
1093222    749.0
1231982    719.0
143267     759.0
208225     664.0
Name: pass__fico_range_high, Length: 5361, dtype: float64

2. Model Design

As we've discussed at the begining our goal is to build ML models to predict these target features:

• Loan Default Risk (loan_status)
• Loan Grade (loan_grade)
• Interest Rate (int_rate)

In all cases we've either used XGBoost or CatBoost models (based on performance and training time).

2.1. Model Pipelines

We've used sci-kit lear pipelines to build and design our models. The data passed to the pipeline is preprocessed separately in src/preproc which filters only completed loans (based on loan_status) and performs other clean up and preprocessing (without fundamentally transforming or scaling etc.) to make all the features compatible with our ML models.

Example of a pipeline:

Pipeline(steps=[('preprocessing',
                 FunctionTransformer(func=<function convert_to_category at 0x7f9a9fcefeb0>)),
                ('feat_trans_loan_grade', LoanGradeTransformer()),
                ('feat_trans_dti_inc_joint', JointApplicationTransformer()),
                ('feat_trans_loan_grade_risk', LoadGradeRiskTransformer()),
                ('feat_trans_fico_score', FICOScoreTransformer()),
                ('feat_trans_delinquency', Del...
                ('feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH',
                 DummyDropAllButFICOHigh()),
                ('feat_trans_dummytransformer',
                 DummyTestTransformer(option=<Options.OFF: 0>)),
                ('remove_columns',
                 FunctionTransformer(func=<function get_pipeline.<locals>.remove_columns_with_prefix at 0x7f9b2668d990>,
                                     kw_args={'prefix': 'target__'})),
                ('model',
                 <catboost.core.CatBoostClassifier object at 0x7f9a9bb53e80>)])

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

Each pipeline consists of these steps:

• a preprocessing function which handles data encoding if necessary (we do not encode categorical variables because XGBoost and CatBoost support them directly).
• a set of feature transformers selected based on hyper tuning results (the transformers were designed iteratively while designing the model and performing the EDA). The transformer merge/combine or otherwise modify various features based on subject knowledge (e.g. calculating various ratios or merging variables which represent basically the same features etc.)
• ML model.

2.2 Hyper-tuning

Because the dataset is very large we have split the tuning and model evaluation into separate notebooks, so they can be performed independently:

• Hyper tuning is first performed using default or fixed model hyperparameters to select the optimal transformers and their parameters.
• Hyperparameter tuning is performed using a fixed pipeline with transformers selected in the previous step.

This is a compromise approach, ideally we would use two nested loops with grid search performed on the outer level to select the transformers and a nested loop (using random or bayesian search) for model hyper tuning. However, considering the size of the dataset (and even if we use a relatively large sample) would be very slow because it would exponentially increase the number of required iterations.

The results are serialized to a binary file that includes the information on the model and training dataset.

2.3 Model Evaluation

Is performed by loading the hyper tuning information saved in the previous step, the model (with the same pipeline) is trained using the test training sample of the dataset, validated using CV and then evaluating using a separate training sample.

2.4 Production Deployment

The model from the previous step is serialized using (dill or joblib) and deployed to remote VM running a FastAPI backend that can be integrated into a website or other application.

2.1. Tuning the Binary Default Risk Classifier

We'll tune multiple XGBoost model which predict the loan_status column using F1 and PR-AUC (we have tried other metrics but they gennerally provide the same or inferior results)

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/preprocessing/_function_transformer.py:345: UserWarning: With transform="pandas", `func` should return a DataFrame to follow the set_output API.
  warnings.warn(

Total samples loaded for tuning: 135146

Tunning: - transformers: transformers: 9
 total options: 19
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.LoadGradeRiskTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.LoanPurposeRiskTransformer'>, <class 'src.feature_engineering.DropLowImportanceFeatures'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_loan_grade_risk__option': [0, 2], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_loan_purpose__option': [0, 1], 'feat_trans_DropLowImportanceFeatures__option': [0, 1]}

 - model: XGBoostTuneF1 n_iters=100 with:
 {'model__learning_rate': [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__min_child_weight': [0.1, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4], 'model__scale_pos_weight': [1, 2, 3, 5, 10]}
Fitting 5 folds for each of 768 candidates, totalling 3840 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
768 fits failed out of a total of 3840.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:21:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:22:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:24:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:26:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:27:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:08] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:29:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.76513139 0.76437669 0.75882401 0.76247795 0.76401914 0.76132709
 0.76257122 0.76623497 0.76656068 0.75997214 0.76166763 0.76308457
 0.76348761 0.76229759 0.7644924  0.76243537 0.76656068 0.75997214
 0.76166763 0.76308457 0.76348761 0.76229759 0.7644924  0.76243537
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.75883704 0.76372936 0.76367963 0.76287467 0.7616791  0.76066416
 0.7651545  0.76554103 0.75712119 0.75983318 0.76373397 0.76319303
 0.75922685 0.76208706 0.76186505 0.76141942 0.75712119 0.75983318
 0.76373397 0.76319303 0.75922685 0.76208706 0.76186505 0.76141942
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.76136307 0.76006042 0.75959578 0.7618182  0.75856007 0.76129011
 0.76098199 0.75807464 0.76445951 0.7629026  0.76186022 0.76046491
 0.76256663 0.76205707 0.76166334 0.76241028 0.76445951 0.7629026
 0.76186022 0.76046491 0.76256663 0.76205707 0.76166334 0.76241028
 0.7593144  0.76153088 0.75995332 0.76271677 0.76035142 0.75661712
 0.75969557 0.76408727 0.76216441 0.76301904 0.75752974 0.76314638
 0.75923345 0.76836656 0.75925065 0.76279412 0.76216441 0.76301904
 0.75752974 0.76314638 0.75923345 0.76836656 0.75925065 0.76279412
 0.76084945 0.7607151  0.75924363 0.7643685  0.75905848 0.75802715
 0.75966082 0.75886837 0.76188979 0.76322497 0.76265936 0.76251082
 0.76364143 0.76350887 0.76018287 0.76289789 0.76188979 0.76322497
 0.76265936 0.76251082 0.76364143 0.76350887 0.76018287 0.76289789
 0.7617597  0.76207    0.76021864 0.76144862 0.75970394 0.75634296
 0.75993098 0.76097551 0.76007471 0.76348326 0.76096211 0.76218009
 0.7614679  0.76710554 0.75943812 0.76181649 0.76007471 0.76348326
 0.76096211 0.76218009 0.7614679  0.76710554 0.75943812 0.76181649
 0.76604981 0.76094572 0.76293591 0.76278053 0.76220905 0.76438406
 0.75895875 0.76034947 0.76482075 0.76060085 0.75958786 0.76238374
 0.7658237  0.76143887 0.75872576 0.7578538  0.76482075 0.76060085
 0.75958786 0.76238374 0.7658237  0.76143887 0.75872576 0.7578538
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.7602806  0.76127093 0.76251977 0.76475033 0.76302633 0.76177883
 0.76120526 0.76431181 0.76039238 0.76205941 0.75860559 0.76374111
 0.76145429 0.76154534 0.76041659 0.76318588 0.76039238 0.76205941
 0.75860559 0.76374111 0.76145429 0.76154534 0.76041659 0.76318588
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.76019462 0.76199625 0.76319466 0.75913092 0.76452981 0.75971265
 0.76085098 0.76392709 0.76243712 0.76521738 0.76339626 0.7585819
 0.76431754 0.76463356 0.76230945 0.76340974 0.76243712 0.76521738
 0.76339626 0.7585819  0.76431754 0.76463356 0.76230945 0.76340974
 0.76077353 0.76559416 0.76064176 0.75933904 0.76122285 0.75993748
 0.76036101 0.75947494 0.76155404 0.76611852 0.75997705 0.76500824
 0.75767367 0.76322716 0.75946055 0.76311066 0.76155404 0.76611852
 0.75997705 0.76500824 0.75767367 0.76322716 0.75946055 0.76311066
 0.75801502 0.76058518 0.76031159 0.76279477 0.76148894 0.76197668
 0.76067328 0.76379701 0.76160014 0.76800508 0.76524863 0.76267726
 0.76044532 0.76280943 0.76207773 0.76315771 0.76160014 0.76800508
 0.76524863 0.76267726 0.76044532 0.76280943 0.76207773 0.76315771
 0.75840291 0.76036324 0.75629071 0.76144295 0.76111336 0.75769352
 0.76028983 0.7575501  0.7666485  0.76273655 0.75836304 0.76440125
 0.75908095 0.7642915  0.7597051  0.76303908 0.7666485  0.76273655
 0.75836304 0.76440125 0.75908095 0.7642915  0.7597051  0.76303908
 0.76513139 0.76437669 0.75882401 0.76247795 0.76401914 0.76132709
 0.76257122 0.76623497 0.76656068 0.75997214 0.76166763 0.76308457
 0.76348761 0.76229759 0.7644924  0.76243537 0.76656068 0.75997214
 0.76166763 0.76308457 0.76348761 0.76229759 0.7644924  0.76243537
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.75883704 0.76372936 0.76367963 0.76287467 0.7616791  0.76066416
 0.7651545  0.76554103 0.75712119 0.75983318 0.76373397 0.76319303
 0.75922685 0.76208706 0.76186505 0.76141942 0.75712119 0.75983318
 0.76373397 0.76319303 0.75922685 0.76208706 0.76186505 0.76141942
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.76136307 0.76006042 0.75959578 0.7618182  0.75856007 0.76129011
 0.76098199 0.75807464 0.76445951 0.7629026  0.76186022 0.76046491
 0.76256663 0.76205707 0.76166334 0.76241028 0.76445951 0.7629026
 0.76186022 0.76046491 0.76256663 0.76205707 0.76166334 0.76241028
 0.7593144  0.76153088 0.75995332 0.76271677 0.76035142 0.75661712
 0.75969557 0.76408727 0.76216441 0.76301904 0.75752974 0.76314638
 0.75923345 0.76836656 0.75925065 0.76279412 0.76216441 0.76301904
 0.75752974 0.76314638 0.75923345 0.76836656 0.75925065 0.76279412
 0.76084945 0.7607151  0.75924363 0.7643685  0.75905848 0.75802715
 0.75966082 0.75886837 0.76188979 0.76322497 0.76265936 0.76251082
 0.76364143 0.76350887 0.76018287 0.76289789 0.76188979 0.76322497
 0.76265936 0.76251082 0.76364143 0.76350887 0.76018287 0.76289789
 0.7617597  0.76207    0.76021864 0.76144862 0.75970394 0.75634296
 0.75993098 0.76097551 0.76007471 0.76348326 0.76096211 0.76218009
 0.7614679  0.76710554 0.75943812 0.76181649 0.76007471 0.76348326
 0.76096211 0.76218009 0.7614679  0.76710554 0.75943812 0.76181649
 0.76604981 0.76094572 0.76293591 0.76278053 0.76220905 0.76438406
 0.75895875 0.76034947 0.76482075 0.76060085 0.75958786 0.76238374
 0.7658237  0.76143887 0.75872576 0.7578538  0.76482075 0.76060085
 0.75958786 0.76238374 0.7658237  0.76143887 0.75872576 0.7578538
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.7602806  0.76127093 0.76251977 0.76475033 0.76302633 0.76177883
 0.76120526 0.76431181 0.76039238 0.76205941 0.75860559 0.76374111
 0.76145429 0.76154534 0.76041659 0.76318588 0.76039238 0.76205941
 0.75860559 0.76374111 0.76145429 0.76154534 0.76041659 0.76318588
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.76019462 0.76199625 0.76319466 0.75913092 0.76452981 0.75971265
 0.76085098 0.76392709 0.76243712 0.76521738 0.76339626 0.7585819
 0.76431754 0.76463356 0.76230945 0.76340974 0.76243712 0.76521738
 0.76339626 0.7585819  0.76431754 0.76463356 0.76230945 0.76340974
 0.76077353 0.76559416 0.76064176 0.75933904 0.76122285 0.75993748
 0.76036101 0.75947494 0.76155404 0.76611852 0.75997705 0.76500824
 0.75767367 0.76322716 0.75946055 0.76311066 0.76155404 0.76611852
 0.75997705 0.76500824 0.75767367 0.76322716 0.75946055 0.76311066
 0.75801502 0.76058518 0.76031159 0.76279477 0.76148894 0.76197668
 0.76067328 0.76379701 0.76160014 0.76800508 0.76524863 0.76267726
 0.76044532 0.76280943 0.76207773 0.76315771 0.76160014 0.76800508
 0.76524863 0.76267726 0.76044532 0.76280943 0.76207773 0.76315771
 0.75840291 0.76036324 0.75629071 0.76144295 0.76111336 0.75769352
 0.76028983 0.7575501  0.7666485  0.76273655 0.75836304 0.76440125
 0.75908095 0.7642915  0.7597051  0.76303908 0.7666485  0.76273655
 0.75836304 0.76440125 0.75908095 0.7642915  0.7597051  0.76303908]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 1, 'feat_trans_loan_grade_risk__option': 2, 'feat_trans_loan_purpose__option': 0, 'feat_trans_new_dti_after_loan__option': 1}
Fitting 5 folds for each of 100 candidates, totalling 500 fits
Best Model Parameters: {'model__scale_pos_weight': 2, 'model__n_estimators': 50, 'model__min_child_weight': 2, 'model__max_depth': 5, 'model__learning_rate': 0.1, 'model__gamma': 0.05}
XGBoostTuneF1 Tuning, total time:645.7

Tunning: - transformers: transformers: 9
 total options: 19
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.LoadGradeRiskTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.LoanPurposeRiskTransformer'>, <class 'src.feature_engineering.DropLowImportanceFeatures'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_loan_grade_risk__option': [0, 2], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_loan_purpose__option': [0, 1], 'feat_trans_DropLowImportanceFeatures__option': [0, 1]}

 - model: XGBoostTunePRAUC n_iters=100 with:
 {'model__learning_rate': [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__min_child_weight': [0.1, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4], 'model__scale_pos_weight': [1, 2, 3, 5, 10]}
Fitting 5 folds for each of 768 candidates, totalling 3840 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
1152 fits failed out of a total of 3840.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
15 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
12 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
12 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:57] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:59] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:59] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:08] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:08] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:00] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:00] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:04] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:04] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]



--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]



--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]



--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]



--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]



--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]



--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
    self._final_estimator.fit(Xt, y, **fit_params_last_step)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
    train_dmatrix, evals = _wrap_evaluation_matrices(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
    train_dmatrix = create_dmatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
    return QuantileDMatrix(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
    return func(**kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
    self._init(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
    _check_call(ret)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
  [bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
  [bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
  [bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
  [bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
  [bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
  [bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
  [bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
  [bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
  [bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]



  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.7948594         nan 0.79640277        nan 0.7948594         nan
 0.79640277        nan 0.7948594         nan 0.79640277        nan
 0.7948594         nan 0.79640277        nan 0.7948594         nan
 0.79640277        nan 0.7948594         nan 0.79640277        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79711895        nan 0.79916439        nan 0.79711895        nan
 0.79916439        nan 0.79711895        nan 0.79916439        nan
 0.79711895        nan 0.79916439        nan 0.79711895        nan
 0.79916439        nan 0.79711895        nan 0.79916439        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
 0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
 0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
 0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
 0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
 0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
 0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
 0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
 0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
 0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
 0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
 0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
 0.79821443 0.7999285  0.7989189  0.80054885 0.79821443 0.7999285
 0.7989189  0.80054885 0.79821443 0.7999285  0.7989189  0.80054885
 0.79821443 0.7999285  0.7989189  0.80054885 0.79821443 0.7999285
 0.7989189  0.80054885 0.79821443 0.7999285  0.7989189  0.80054885
 0.7954834         nan 0.79621718        nan 0.7954834         nan
 0.79621718        nan 0.7954834         nan 0.79621718        nan
 0.7954834         nan 0.79621718        nan 0.7954834         nan
 0.79621718        nan 0.7954834         nan 0.79621718        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79336295        nan 0.79675884        nan 0.79336295        nan
 0.79675884        nan 0.79336295        nan 0.79675884        nan
 0.79336295        nan 0.79675884        nan 0.79336295        nan
 0.79675884        nan 0.79336295        nan 0.79675884        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
 0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
 0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
 0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
 0.79787685 0.79598071 0.79928972 0.7985434  0.79787685 0.79598071
 0.79928972 0.7985434  0.79787685 0.79598071 0.79928972 0.7985434
 0.79787685 0.79598071 0.79928972 0.7985434  0.79787685 0.79598071
 0.79928972 0.7985434  0.79787685 0.79598071 0.79928972 0.7985434
 0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
 0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
 0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
 0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
 0.79780831 0.79819541 0.8004567  0.79756526 0.79780831 0.79819541
 0.8004567  0.79756526 0.79780831 0.79819541 0.8004567  0.79756526
 0.79780831 0.79819541 0.8004567  0.79756526 0.79780831 0.79819541
 0.8004567  0.79756526 0.79780831 0.79819541 0.8004567  0.79756526
 0.7948594         nan 0.79640277        nan 0.7948594         nan
 0.79640277        nan 0.7948594         nan 0.79640277        nan
 0.7948594         nan 0.79640277        nan 0.7948594         nan
 0.79640277        nan 0.7948594         nan 0.79640277        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79711895        nan 0.79916439        nan 0.79711895        nan
 0.79916439        nan 0.79711895        nan 0.79916439        nan
 0.79711895        nan 0.79916439        nan 0.79711895        nan
 0.79916439        nan 0.79711895        nan 0.79916439        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
 0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
 0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
 0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
 0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
 0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
 0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
 0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
 0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
 0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
 0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
 0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
 0.79821443 0.7999285  0.7989189  0.80054885 0.79821443 0.7999285
 0.7989189  0.80054885 0.79821443 0.7999285  0.7989189  0.80054885
 0.79821443 0.7999285  0.7989189  0.80054885 0.79821443 0.7999285
 0.7989189  0.80054885 0.79821443 0.7999285  0.7989189  0.80054885
 0.7954834         nan 0.79621718        nan 0.7954834         nan
 0.79621718        nan 0.7954834         nan 0.79621718        nan
 0.7954834         nan 0.79621718        nan 0.7954834         nan
 0.79621718        nan 0.7954834         nan 0.79621718        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79336295        nan 0.79675884        nan 0.79336295        nan
 0.79675884        nan 0.79336295        nan 0.79675884        nan
 0.79336295        nan 0.79675884        nan 0.79336295        nan
 0.79675884        nan 0.79336295        nan 0.79675884        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
 0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
 0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
 0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
 0.79787685 0.79598071 0.79928972 0.7985434  0.79787685 0.79598071
 0.79928972 0.7985434  0.79787685 0.79598071 0.79928972 0.7985434
 0.79787685 0.79598071 0.79928972 0.7985434  0.79787685 0.79598071
 0.79928972 0.7985434  0.79787685 0.79598071 0.79928972 0.7985434
 0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
 0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
 0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
 0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
 0.79780831 0.79819541 0.8004567  0.79756526 0.79780831 0.79819541
 0.8004567  0.79756526 0.79780831 0.79819541 0.8004567  0.79756526
 0.79780831 0.79819541 0.8004567  0.79756526 0.79780831 0.79819541
 0.8004567  0.79756526 0.79780831 0.79819541 0.8004567  0.79756526]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 1, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_loan_grade_risk__option': 0, 'feat_trans_loan_purpose__option': 1, 'feat_trans_new_dti_after_loan__option': 1}
Fitting 5 folds for each of 100 candidates, totalling 500 fits
Best Model Parameters: {'model__scale_pos_weight': 1, 'model__n_estimators': 200, 'model__min_child_weight': 3, 'model__max_depth': 7, 'model__learning_rate': 0.01, 'model__gamma': 0}
XGBoostTunePRAUC Tuning, total time:614.9

	best_score	best_params
model_key
XGBoostTuneF1	0.764077	{'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 1, 'feat_trans_loan_grade_risk__option': 2, 'feat_trans_loan_purpose__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__scale_pos_weight': 2, 'model__n_estimators': 50, 'model__min_child_weight': 2, 'model__max_depth': 5, 'model__learning_rate': 0.1, 'model__gamma': 0.05}
XGBoostTunePRAUC	0.803634	{'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 1, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_loan_grade_risk__option': 0, 'feat_trans_loan_purpose__option': 1, 'feat_trans_new_dti_after_loan__option': 1, 'model__scale_pos_weight': 1, 'model__n_estimators': 200, 'model__min_child_weight': 3, 'model__max_depth': 7, 'model__learning_rate': 0.01, 'model__gamma': 0}

While we have tried LightGBM, CatBoost and other models initially (see shared/ml_config_core for various tested configurations) we've narrowed to these two configurations because they provided the best (or approximately the same as) results while also being the fastest to train.

The parameters tuned to maximize F1 generally provide the best performance for binary classification, however the PR-AUC configuration results in more accurate probabilities because (which might be preferable because our goal is to build a model to select the loans to invest in)

Preprocessing and Transformer Tuning

We have attempted to performance various feature transformations* to our dataset which could potentially improve performance (i.e. binning or merging certain variables etc.). Because we have a high number of different combinations and because invidual transformers might perform differently when tuning for certain metrics we've also included them in our tuning process included:

1. Grid search is performed with every combination of transformers using "semi-optimal" (based on previous tuning) hyperparameter defined for each specific model type.
2. Random search is used to select the optimal hyperparameter

• see src/feature_engineering/py for full list of transformers.

Results based on transformer combinations

0 = disabled, some transformers have multiple different parameters (e.g. 1,2..)

'XGBoostTuneF1:'

	feat_trans_DropLowImportanceFeatures__option	feat_trans_delinquency__option	feat_trans_dti_inc_joint__option	feat_trans_fico_score__option	feat_trans_inst_income_ratio__option	feat_trans_loan_grade__option	feat_trans_loan_grade_risk__option	feat_trans_loan_purpose__option	feat_trans_new_dti_after_loan__option	mean_test_score
141	0	0	1	0	1	2	2	0	1	0.768367
133	0	0	1	0	1	1	2	0	1	0.768367
517	1	0	1	0	1	1	2	0	1	0.768367
525	1	0	1	0	1	2	2	0	1	0.768367
729	1	1	1	1	0	1	0	0	1	0.768005
345	0	1	1	1	0	1	0	0	1	0.768005
353	0	1	1	1	0	2	0	0	1	0.768005
737	1	1	1	1	0	2	0	0	1	0.768005
565	1	0	1	1	1	1	2	0	1	0.767106
181	0	0	1	1	1	1	2	0	1	0.767106

'XGBoostTunePRAUC:'

	feat_trans_DropLowImportanceFeatures__option	feat_trans_delinquency__option	feat_trans_dti_inc_joint__option	feat_trans_fico_score__option	feat_trans_inst_income_ratio__option	feat_trans_loan_grade__option	feat_trans_loan_grade_risk__option	feat_trans_loan_purpose__option	feat_trans_new_dti_after_loan__option	mean_test_score
575	1	0	1	1	1	2	2	1	1	0.800549
179	0	0	1	1	1	1	0	1	1	0.800549
563	1	0	1	1	1	1	0	1	1	0.800549
555	1	0	1	1	1	0	0	1	1	0.800549
183	0	0	1	1	1	1	2	1	1	0.800549
567	1	0	1	1	1	1	2	1	1	0.800549
191	0	0	1	1	1	2	2	1	1	0.800549
187	0	0	1	1	1	2	0	1	1	0.800549
571	1	0	1	1	1	2	0	1	1	0.800549
175	0	0	1	1	1	0	2	1	1	0.800549

We have built a simple regression model to evaluate the impact of each transformer and the hyperparameter. This is just to give a rough estimate and to allow comparing individual parameters (the values themselves are not particularly meaningful)

'Transformer impact for XGBoostTuneF1'

	Transformer_Option	Impact
9	feat_trans_new_dti_after_loan__option_1	0.0011
5	feat_trans_loan_grade__option_1	0.0010
6	feat_trans_loan_grade__option_2	0.0010
1	feat_trans_delinquency__option_1	0.0001
2	feat_trans_dti_inc_joint__option_1	0.0001
0	feat_trans_DropLowImportanceFeatures__option_1	-0.0000
3	feat_trans_fico_score__option_1	-0.0003
7	feat_trans_loan_grade_risk__option_2	-0.0003
8	feat_trans_loan_purpose__option_1	-0.0005
4	feat_trans_inst_income_ratio__option_1	-0.0007

'Transformer impact for XGBoostTuneF1'

	Transformer_Option	Impact
29	model__learning_rate_0.9	0.1672
21	model__learning_rate_0.05	0.1609
23	model__learning_rate_0.2	0.1603
22	model__learning_rate_0.1	0.1436
24	model__learning_rate_0.3	0.1427
25	model__learning_rate_0.4	0.1421
27	model__learning_rate_0.6	0.1304
26	model__learning_rate_0.5	0.1261
28	model__learning_rate_0.7	0.1169
30	model__learning_rate_1	0.1165

'Transformer impact for XGBoostTunePRAUC'

	Transformer_Option	Impact
4	feat_trans_inst_income_ratio__option_1	0.0030
9	feat_trans_new_dti_after_loan__option_1	0.0016
3	feat_trans_fico_score__option_1	0.0015
8	feat_trans_loan_purpose__option_1	0.0014
0	feat_trans_DropLowImportanceFeatures__option_1	-0.0000
5	feat_trans_loan_grade__option_1	-0.0000
6	feat_trans_loan_grade__option_2	-0.0000
7	feat_trans_loan_grade_risk__option_2	0.0000
1	feat_trans_delinquency__option_1	-0.0002
2	feat_trans_dti_inc_joint__option_1	-0.0017

'Transformer impact for XGBoostTunePRAUC'

	Transformer_Option	Impact
15	model__min_child_weight_3	0.0384
14	model__min_child_weight_2.5	0.0379
12	model__min_child_weight_1.5	0.0352
13	model__min_child_weight_2	0.0352
11	model__min_child_weight_1	0.0339
10	model__min_child_weight_0.75	0.0308
9	model__min_child_weight_0.5	0.0218
8	model__min_child_weight_0.25	0.0139
23	model__learning_rate_0.2	0.0116
22	model__learning_rate_0.1	0.0101

Parameter hypertuning results:

	mean_fit_time	std_fit_time	mean_score_time	std_score_time	param_model__scale_pos_weight	param_model__n_estimators	param_model__min_child_weight	param_model__max_depth	param_model__learning_rate	param_model__gamma	split0_test_score	split1_test_score	split2_test_score	split3_test_score	split4_test_score	mean_test_score	std_test_score	rank_test_score
24	2.341953	0.251624	0.061809	0.015119	1	200	3.00	7	0.01	0.00	0.808645	0.784687	0.843576	0.814886	0.766374	0.803634	0.026436	1
37	1.425394	0.093099	0.044473	0.014674	2	200	1.50	5	0.01	0.10	0.822774	0.795782	0.834720	0.802947	0.756593	0.802563	0.026840	2
17	0.791208	0.083990	0.043216	0.011155	3	150	3.00	4	0.05	0.40	0.817489	0.793104	0.832918	0.799853	0.762578	0.801188	0.023792	3
46	1.302502	0.087366	0.042924	0.013040	2	150	3.00	6	0.01	0.30	0.818036	0.791392	0.841381	0.800750	0.748750	0.800062	0.030786	4
55	2.735162	0.075101	0.034684	0.001113	3	100	0.75	12	0.10	0.10	0.806904	0.786509	0.836783	0.805006	0.752647	0.797570	0.027642	5
26	1.124561	0.196192	0.043190	0.013503	1	50	0.75	12	0.30	0.05	0.812526	0.778796	0.832216	0.798660	0.760728	0.796585	0.025021	6
50	1.155161	0.029930	0.039631	0.005030	5	200	2.50	5	0.05	0.30	0.807935	0.786918	0.829840	0.801134	0.751952	0.795556	0.025829	7
78	0.675207	0.022376	0.030314	0.003918	2	200	1.00	10	0.50	0.05	0.811462	0.783413	0.819139	0.802754	0.760113	0.795376	0.021281	8
85	0.904215	0.017431	0.032068	0.002070	2	150	1.50	12	0.30	0.05	0.797219	0.789282	0.828570	0.802043	0.759517	0.795326	0.022238	9
15	1.815082	0.277195	0.042250	0.013736	5	150	1.00	10	0.20	0.05	0.797216	0.780758	0.832194	0.793218	0.771970	0.795071	0.020614	10

Because the hypertuning process is very slow (due to a very high number of fits required for transformer tuning and the size of the dataset) the tuning results are serialized in a binary file and used to train the test models separately.

term_parser__term                     float64
emp_length_parser__emp_length         float64
target__loan_status                   float64
zip__zip_code                        category
pass__loan_amnt                       float64
pass__int_rate                        float64
pass__installment                     float64
pass__grade                          category
pass__sub_grade                      category
pass__home_ownership                 category
pass__annual_inc                      float64
pass__verification_status            category
pass__purpose                        category
pass__addr_state                     category
pass__dti                             float64
pass__delinq_2yrs                     float64
pass__fico_range_low                  float64
pass__fico_range_high                 float64
pass__inq_last_6mths                  float64
pass__mths_since_last_delinq          float64
pass__mths_since_last_record          float64
pass__open_acc                        float64
pass__pub_rec                         float64
pass__revol_bal                       float64
pass__revol_util                      float64
pass__total_acc                       float64
pass__initial_list_status            category
pass__last_fico_range_high            float64
pass__last_fico_range_low             float64
pass__collections_12_mths_ex_med      float64
pass__mths_since_last_major_derog     float64
pass__application_type               category
pass__annual_inc_joint                float64
pass__dti_joint                       float64
pass__verification_status_joint      category
pass__inq_fi                          float64
pass__inq_last_12m                    float64
pass__chargeoff_within_12_mths        float64
pass__mort_acc                        float64
pass__pub_rec_bankruptcies            float64
pass__tax_liens                       float64
pass__tot_hi_cred_lim                 float64
pass__total_bal_ex_mort               float64
dtype: object

2.1.1 Training and Testing the Default Risk Model

The dataset is pre-split into a 20% test sample and a 80% training sample (10% of which is used for tuning):

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/preprocessing/_function_transformer.py:345: UserWarning: With transform="pandas", `func` should return a DataFrame to follow the set_output API.
  warnings.warn(

Total Samples Loaded 1210204

Training: XGBoostTuneF1 with: {'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 1, 'feat_trans_loan_grade_risk__option': 2, 'feat_trans_loan_purpose__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__scale_pos_weight': 2, 'model__n_estimators': 50, 'model__min_child_weight': 2, 'model__max_depth': 5, 'model__learning_rate': 0.1, 'model__gamma': 0.05}
XGBoostTuneF1: 57.8 seconds
Training: XGBoostTunePRAUC with: {'feat_trans_DropLowImportanceFeatures__option': 0, 'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 1, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_loan_grade_risk__option': 0, 'feat_trans_loan_purpose__option': 1, 'feat_trans_new_dti_after_loan__option': 1, 'model__scale_pos_weight': 1, 'model__n_estimators': 200, 'model__min_child_weight': 3, 'model__max_depth': 7, 'model__learning_rate': 0.01, 'model__gamma': 0}
XGBoostTunePRAUC: 172.1 seconds

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:1001: UserWarning: The figure layout has changed to tight
  plt.tight_layout()

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:457: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_yticklabels(

	Feature	Importance
0	term_parser__term	0.046249
1	emp_length_parser__emp_length	0.010484
2	zip__zip_code	0.008205
3	pass__loan_amnt	0.026461
4	pass__int_rate	0.009085
5	pass__installment	0.008085
6	pass__sub_grade	0.002424
7	pass__home_ownership	0.006691
8	pass__annual_inc	0.001189
9	pass__verification_status	0.002817
10	pass__purpose	0.005181
11	pass__addr_state	0.003578
12	pass__dti	0.000481
13	pass__delinq_2yrs	0.000000
14	pass__fico_range_low	0.012209
15	pass__fico_range_high	0.000000
16	pass__inq_last_6mths	0.003078
17	pass__mths_since_last_delinq	0.002028
18	pass__mths_since_last_record	0.002129
19	pass__open_acc	0.003595
20	pass__pub_rec	0.000000
21	pass__revol_bal	0.004596
22	pass__revol_util	0.006599
23	pass__total_acc	0.014794
24	pass__initial_list_status	0.008644
25	pass__last_fico_range_high	0.636663
26	pass__last_fico_range_low	0.000000
27	pass__collections_12_mths_ex_med	0.000082
28	pass__mths_since_last_major_derog	0.000075
29	pass__application_type	0.012244
30	pass__verification_status_joint	0.006884
31	pass__inq_fi	0.043678
32	pass__inq_last_12m	0.052992
33	pass__chargeoff_within_12_mths	0.000000
34	pass__mort_acc	0.005532
35	pass__pub_rec_bankruptcies	0.003598
36	pass__tax_liens	0.000000
37	pass__tot_hi_cred_lim	0.010544
38	pass__total_bal_ex_mort	0.003171
39	risk_score	0.000000
40	installment_income_ratio	0.015156
41	new_dti	0.020779

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:457: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_yticklabels(

	Feature	Importance
0	term_parser__term	0.011087
1	emp_length_parser__emp_length	0.001202
2	zip__zip_code	0.001174
3	pass__loan_amnt	0.002792
4	pass__int_rate	0.000528
5	pass__installment	0.001426
6	pass__grade	0.000395
7	pass__sub_grade	0.000258
8	pass__home_ownership	0.000333
9	pass__annual_inc	0.000163
10	pass__verification_status	0.000701
11	pass__purpose	0.000238
12	pass__addr_state	0.000407
13	pass__dti	0.000190
14	pass__delinq_2yrs	0.000097
15	pass__fico_range_high	0.000731
16	pass__inq_last_6mths	0.000203
17	pass__mths_since_last_delinq	0.000310
18	pass__mths_since_last_record	0.000123
19	pass__open_acc	0.000204
20	pass__pub_rec	0.000000
21	pass__revol_bal	0.000212
22	pass__revol_util	0.000378
23	pass__total_acc	0.000977
24	pass__initial_list_status	0.001008
25	pass__last_fico_range_low	0.022224
26	pass__collections_12_mths_ex_med	0.000000
27	pass__mths_since_last_major_derog	0.000188
28	pass__application_type	0.000789
29	pass__verification_status_joint	0.000675
30	pass__inq_fi	0.004502
31	pass__inq_last_12m	0.021451
32	pass__chargeoff_within_12_mths	0.000000
33	pass__mort_acc	0.000646
34	pass__pub_rec_bankruptcies	0.001127
35	pass__tax_liens	0.000000
36	pass__tot_hi_cred_lim	0.001025
37	pass__total_bal_ex_mort	0.000277
38	combined_fico	0.918560
39	installment_income_ratio	0.001464
40	new_dti	0.001635
41	purpose_risk_score	0.000299

Analyzing and Predicting Grades

Average Default Rate by Grade in the Dataset:

	Counts	Proportion	Loan_Status_Ratio
A	211381	0.174666	0.060445
B	353495	0.292095	0.134030
C	343327	0.283693	0.224480
D	180840	0.149429	0.303639
E	84224	0.069595	0.384214
F	28719	0.023731	0.451165
G	8218	0.006791	0.501582

Evaluating Financial Returns/Performance

We'll use the model we have built to narrow down the sample of loans that have a lower risk to default.

This would be more useful to potential investors rather than the Lenders Club itself, they can use it in addition to the grade and other data provided by the Lenders Club to select the loans which not to invest it in.

The table below shows the total returns of all the loans in the dataset. We have to note that this is highly simplified because it assumes that all the loans that were defaulted on had to be completely written off but realistically this is not really the case:

• all lenders are likely to make at least some payments before they default
• defaulted loans can still be sold to third part for a fraction of the owed amount In future version of our model we should take these factors into account.

	Total Loan Amount	Total Interest Paid	Expected Return %	Total Return %	Total Loss
0	17451.88m	1770.28m	13.645651	10.143752	3757.82m

We have selected only the loans which are unlikely to default using the default 50% threshold (note that the predicted probabilities don't directly indicate the likelihood of default):

	Actual	Hypothetical
Total Loan Amount	17451.8813M	2804.2057M
Total Interest Paid	1770.2756M	362.0434M
Total Return %	10.14%	12.91%
Default Rate	19.96%	6.93%
Total Loss	3757.8181M	189.3224M
Losses Avoided	None	3568.4957M
Interest Lost	None	-1408.2322M
Total Applications Accepted	1210204	199192

Our model is fairly conservative and has rejected most of the loans offered by the Lenders Club (i.e. more than 80% are considered to be too risky). This would make it not very useful for the Lenders Club itself (however we might be able to improve this tuning the threshold). However, from the perspective of potential investors this is perfectly acceptable because they are likely to only invest into a small subset of available loans.

Using our model would allow investors to signficantly improve their returns by 3% or so, further improvements might be possible by improving the threshold (we'll look into this in the next section).

Calculating Probability Thresholds

If we're using our binary classification model to assign grades to loans based on default probabilities we can't directly try to predict the grades from the source dataset.

Basically what we can do is to use the source dataset as a baseline and try to determine whether our model can outperform the method the Lending Club is using for determine grades, we'll try to maintain the same ratio of grades while trying to minimize the default risk for loans included in top grades (basically we want to make sure that's the spread of default risk between grades is maximized i.e. default risk for grade A is as close to 0% and for grade F as close to 100% as possible while also ensuring that the risk increased with continuously with grade)

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))

The chart shows the performance of the if only individual with stroke Prob. > T are selected. Additionally the overlay indicates the number of people whose predicted P is in an given range. The overlays can be used to selected the most at risk individual based on the probability predicted for them

We have used the predicted probabilities to suggest alternative grades for each loan. Expected D.R is the default rate based on original grades. We can see our grades are much better at excluding higher risk loans from higher grades.

Generally this does not necessarily mean that source grades are inaccurate or objectively worse, the investors club is likely using a more straightforward and transparent algorithm for assigning them and investors should be using additional criteria when selecting which loans to invest anyway.

Comparing Interest Rates for Predicted Grades

In this section we'll try to evaluate investment strategies that are entirely based on loan grades (either the original ones or ones provided by our model)

Predicted Grade Real Return Rates

'Returns and Default Rate by Grade in Source Dataset:'

	default_rate	mean_interest_rate	expected_return
pass__grade_merged
A	0.06	7.11	6.69
B	0.13	10.68	9.26
C	0.22	14.02	10.87
D	0.30	17.73	12.36
E-F-G	0.41	22.51	13.27

'Returns and Default Rate Based on Default Probability Model:'

	default_rate	mean_interest_rate	expected_return
predicted_grades
A	0.003	10.353	10.325
B	0.008	12.197	12.098
C	0.080	13.853	12.751
D	0.559	14.750	6.508
E-F-G	0.902	16.902	1.655

We can see that while using our model to invested in the worst grades loans would lead to relatively poor returns investing in only in C grade or higher rated loans would provide better returns than using the Lenders Club's values to invest in the same loans:

• Investing only in C loans would provide almost the same returns as the far riskier E-F-G loans using the original grades.
• Only investing in A loans still yields ~10%, considering that the default rate is extremely low it might still be a preferable option to investing into high risk loans.

Basically using our model the investor would be able to minimize default risk while still getting decent returns i.e. if they only invested in loans with an estimated 10% default likelyhood or less using the original grades (so only A grade loans) they'd only make 6-7% while using our model this can be increased to more than 10%.

Limitations

We must take into account that this calculation is very simplified and therefore probably not accurate because, our model and calculations assume that Loss Given Default (LGD) is 100% and that Exposure at Default (EAD) is also 100% which is not accurate: - loans usually are not defaulted on immediately (i.e. some payments are almost always received) - most applicants who are unable to keep up with their payments are given some leeway and {PAYMENT PLAN} - failed loans are often sold to third parties for at least some fraction of the owed amount

Therefore, to provide a more accurate estimate and to figure out whether our model would actually be useful we'd need to incorporate the actual amounts received etc.

Total samples loaded : 1000

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/preprocessing/_function_transformer.py:345: UserWarning: With transform="pandas", `func` should return a DataFrame to follow the set_output API.
  warnings.warn(

2    288
1    283
0    210
3    137
4     82
Name: target__grade, dtype: int64

Tunning: - transformers: transformers: 7
 total options: 15
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.DummyDropAllButFICOHigh'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': [0, 1]}

 - model: XGBoostOrdinalGradeRegressor_Default n_iters=50 with:
 {'model__learning_rate': [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12, None], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4]}
Fitting 3 folds for each of 192 candidates, totalling 576 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
432 fits failed out of a total of 576.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 72, in transform
    df[col] = _calc_loan_grade(df[col], False)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 74, in transform
    df[col] = _calc_loan_grade(df[col], True)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
48 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 250, in transform
    df = df[['pass__last_fico_range_high']].copy()
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3813, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6070, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6130, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['pass__last_fico_range_high'], dtype='object')] are in the [columns]"

  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [-0.88649698 -0.85347852         nan         nan         nan         nan
 -0.86718602 -0.85686448         nan         nan         nan         nan
 -0.88649698 -0.85347852         nan         nan         nan         nan
 -0.86718602 -0.85686448         nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -0.87773159 -0.85167957         nan         nan         nan         nan
 -0.85298545 -0.84868961         nan         nan         nan         nan
 -0.87773159 -0.85167957         nan         nan         nan         nan
 -0.85298545 -0.84868961         nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -0.89073848 -0.85611359         nan         nan         nan         nan
 -0.86135542 -0.85514185         nan         nan         nan         nan
 -0.89073848 -0.85611359         nan         nan         nan         nan
 -0.86135542 -0.85514185         nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -0.87824965 -0.8530658          nan         nan         nan         nan
 -0.85293    -0.84561654         nan         nan         nan         nan
 -0.87824965 -0.8530658          nan         nan         nan         nan
 -0.85293    -0.84561654         nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
 -1.2562503  -1.2562503          nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_delinquency__option': 1, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1}
Fitting 3 folds for each of 50 candidates, totalling 150 fits
Best Model Parameters: {'model__n_estimators': 50, 'model__max_depth': 7, 'model__learning_rate': 0.01, 'model__gamma': 0.4}
XGBoostOrdinalGradeRegressor_Default Tuning, total time:23.7

Tunning: - transformers: transformers: 7
 total options: 15
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.DummyDropAllButFICOHigh'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': [0, 1]}

 - model: XGBoostMulticlassTunePRAUC n_iters=50 with:
 {'model__learning_rate': [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__min_child_weight': [0.1, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4]}
Fitting 3 folds for each of 192 candidates, totalling 576 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
432 fits failed out of a total of 576.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 72, in transform
    df[col] = _calc_loan_grade(df[col], False)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 74, in transform
    df[col] = _calc_loan_grade(df[col], True)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
48 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 250, in transform
    df = df[['pass__last_fico_range_high']].copy()
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3813, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6070, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6130, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['pass__last_fico_range_high'], dtype='object')] are in the [columns]"

  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.36769724 0.36560607        nan        nan        nan        nan
 0.37860866 0.36228101        nan        nan        nan        nan
 0.36769724 0.36560607        nan        nan        nan        nan
 0.37860866 0.36228101        nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.36854127 0.34542554        nan        nan        nan        nan
 0.3761822  0.36703897        nan        nan        nan        nan
 0.36854127 0.34542554        nan        nan        nan        nan
 0.3761822  0.36703897        nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.3755548  0.3752252         nan        nan        nan        nan
 0.36927934 0.35999603        nan        nan        nan        nan
 0.3755548  0.3752252         nan        nan        nan        nan
 0.36927934 0.35999603        nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.36892527 0.35293568        nan        nan        nan        nan
 0.36338919 0.36208466        nan        nan        nan        nan
 0.36892527 0.35293568        nan        nan        nan        nan
 0.36338919 0.36208466        nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
 0.2552905  0.2552905         nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 0, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 0}
Fitting 3 folds for each of 50 candidates, totalling 150 fits
Best Model Parameters: {'model__n_estimators': 100, 'model__min_child_weight': 1, 'model__max_depth': 6, 'model__learning_rate': 0.1, 'model__gamma': 0}
XGBoostMulticlassTunePRAUC Tuning, total time:48.4

Tunning: - transformers: transformers: 7
 total options: 15
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.DummyDropAllButFICOHigh'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': [0, 1]}

 - model: XGBoostMulticlassTuneLogLoss n_iters=70 with:
 {'model__learning_rate': [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__min_child_weight': [0.1, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4]}
Fitting 3 folds for each of 192 candidates, totalling 576 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
432 fits failed out of a total of 576.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 72, in transform
    df[col] = _calc_loan_grade(df[col], False)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 74, in transform
    df[col] = _calc_loan_grade(df[col], True)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
48 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 250, in transform
    df = df[['pass__last_fico_range_high']].copy()
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3813, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6070, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6130, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['pass__last_fico_range_high'], dtype='object')] are in the [columns]"

  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [-1.39789144 -1.40119341         nan         nan         nan         nan
 -1.39789144 -1.40119341         nan         nan         nan         nan
 -1.39789144 -1.40119341         nan         nan         nan         nan
 -1.39789144 -1.40119341         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -1.40172436 -1.40700484         nan         nan         nan         nan
 -1.40262623 -1.41334821         nan         nan         nan         nan
 -1.40172436 -1.40700484         nan         nan         nan         nan
 -1.40262623 -1.41334821         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -1.3991901  -1.39678217         nan         nan         nan         nan
 -1.3991901  -1.39678217         nan         nan         nan         nan
 -1.3991901  -1.39678217         nan         nan         nan         nan
 -1.3991901  -1.39678217         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
 -1.40226402 -1.40480985         nan         nan         nan         nan
 -1.40406297 -1.40567022         nan         nan         nan         nan
 -1.40226402 -1.40480985         nan         nan         nan         nan
 -1.40406297 -1.40567022         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
 -1.48349292 -1.48349292         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan
         nan         nan         nan         nan         nan         nan]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_delinquency__option': 1, 'feat_trans_dti_inc_joint__option': 0, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 0, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1}
Fitting 3 folds for each of 70 candidates, totalling 210 fits
Best Model Parameters: {'model__n_estimators': 100, 'model__min_child_weight': 3, 'model__max_depth': 4, 'model__learning_rate': 0.05, 'model__gamma': 0.3}
XGBoostMulticlassTuneLogLoss Tuning, total time:60.2

Tunning: - transformers: transformers: 7
 total options: 15
[<class 'src.feature_engineering.LoanGradeTransformer'>, <class 'src.feature_engineering.JointApplicationTransformer'>, <class 'src.feature_engineering.FICOScoreTransformer'>, <class 'src.feature_engineering.DelinquencyTransformer'>, <class 'src.feature_engineering.InstallementIncomeRatio'>, <class 'src.feature_engineering.NewDtiTransformer'>, <class 'src.feature_engineering.DummyDropAllButFICOHigh'>]
search_grid:
{'feat_trans_loan_grade__option': [0, 1, 2], 'feat_trans_dti_inc_joint__option': [0, 1], 'feat_trans_fico_score__option': [0, 1], 'feat_trans_delinquency__option': [0, 1], 'feat_trans_inst_income_ratio__option': [0, 1], 'feat_trans_new_dti_after_loan__option': [0, 1], 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': [0, 1]}

 - model: XGBoostF1Multiclass n_iters=70 with:
 {'model__learning_rate': [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.9, 1], 'model__max_depth': [4, 5, 6, 7, 10, 12], 'model__n_estimators': [50, 100, 150, 200, 250], 'model__min_child_weight': [0.1, 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3], 'model__gamma': [0, 0.05, 0.1, 0.3, 0.4]}
Fitting 3 folds for each of 192 candidates, totalling 576 fits

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning: 
432 fits failed out of a total of 576.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 72, in transform
    df[col] = _calc_loan_grade(df[col], False)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'pass__grade'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 74, in transform
    df[col] = _calc_loan_grade(df[col], True)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
    raise KeyError(key) from err
KeyError: 'pass__grade'

--------------------------------------------------------------------------------
48 fits failed with the following error:
Traceback (most recent call last):
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
    return self.func(*args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
    return self.fit(X, y, **fit_params).transform(X)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 250, in transform
    df = df[['pass__last_fico_range_high']].copy()
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3813, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6070, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6130, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['pass__last_fico_range_high'], dtype='object')] are in the [columns]"

  warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.4020008  0.40797384        nan        nan        nan        nan
 0.39397481 0.39197281        nan        nan        nan        nan
 0.4020008  0.40797384        nan        nan        nan        nan
 0.39397481 0.39197281        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.40097583 0.40097583        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
 0.4020008  0.40797384        nan        nan        nan        nan
 0.39397481 0.39197281        nan        nan        nan        nan
 0.4020008  0.40797384        nan        nan        nan        nan
 0.39397481 0.39197281        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
 0.32199865 0.32199865        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan
        nan        nan        nan        nan        nan        nan]
  warnings.warn(

Best Transformer Parameters: {'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 0, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1}
Fitting 3 folds for each of 70 candidates, totalling 210 fits
Best Model Parameters: {'model__n_estimators': 200, 'model__min_child_weight': 0.75, 'model__max_depth': 4, 'model__learning_rate': 0.2, 'model__gamma': 0}
XGBoostF1Multiclass Tuning, total time:58.4

	best_score	best_params
model_key
XGBoostOrdinalGradeRegressor_Default	-1.400298	{'feat_trans_delinquency__option': 1, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__n_estimators': 50, 'model__max_depth': 7, 'model__learning_rate': 0.01, 'model__gamma': 0.4}
XGBoostMulticlassTunePRAUC	0.404076	{'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 0, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 0, 'model__n_estimators': 100, 'model__min_child_weight': 1, 'model__max_depth': 6, 'model__learning_rate': 0.1, 'model__gamma': 0}
XGBoostMulticlassTuneLogLoss	-1.330764	{'feat_trans_delinquency__option': 1, 'feat_trans_dti_inc_joint__option': 0, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 0, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__n_estimators': 100, 'model__min_child_weight': 3, 'model__max_depth': 4, 'model__learning_rate': 0.05, 'model__gamma': 0.3}
XGBoostF1Multiclass	0.433967	{'feat_trans_delinquency__option': 0, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 0, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__n_estimators': 200, 'model__min_child_weight': 0.75, 'model__max_depth': 4, 'model__learning_rate': 0.2, 'model__gamma': 0}

Total samples loaded : 9000

/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/preprocessing/_function_transformer.py:345: UserWarning: With transform="pandas", `func` should return a DataFrame to follow the set_output API.
  warnings.warn(

Training: XGBoostOrdinalRegressor with: {'feat_trans_delinquency__option': 1, 'feat_trans_dti_inc_joint__option': 1, 'feat_trans_fico_score__option': 0, 'feat_trans_inst_income_ratio__option': 1, 'feat_trans_loan_grade__option': 0, 'feat_trans_new_dti_after_loan__option': 1, 'model__n_estimators': 250, 'model__max_depth': 4, 'model__learning_rate': 0.01, 'model__gamma': 0.4}
XGBoostOrdinalRegressor_Default: 4.3 seconds
Training: XGBoostMulticlassTunePRAUC with: {'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'model__n_estimators': 200, 'model__min_child_weight': 1, 'model__max_depth': 6, 'model__learning_rate': 0.05, 'model__gamma': 0}
XGBoostMulticlassTunePRAUC: 21.6 seconds
Training: XGBoostF1Multiclass with: {'feat_trans_dummy_DROP_ALL_BUT_FICO_HIGH__option': 0, 'model__n_estimators': 200, 'model__min_child_weight': 2, 'model__max_depth': 4, 'model__learning_rate': 0.1, 'model__gamma': 0}
XGBoostF1Multiclass: 7.9 seconds

Index(['term_parser__term', 'emp_length_parser__emp_length', 'target__grade', 'zip__zip_code', 'pass__loan_amnt', 'pass__installment', 'pass__home_ownership', 'pass__annual_inc', 'pass__verification_status', 'pass__purpose', 'pass__addr_state', 'pass__dti', 'pass__delinq_2yrs', 'pass__fico_range_low', 'pass__fico_range_high', 'pass__inq_last_6mths', 'pass__mths_since_last_delinq', 'pass__mths_since_last_record', 'pass__open_acc', 'pass__pub_rec', 'pass__revol_bal', 'pass__revol_util', 'pass__total_acc', 'pass__initial_list_status', 'pass__last_fico_range_high', 'pass__last_fico_range_low', 'pass__collections_12_mths_ex_med', 'pass__mths_since_last_major_derog', 'pass__application_type', 'pass__annual_inc_joint', 'pass__dti_joint', 'pass__verification_status_joint', 'pass__inq_fi', 'pass__inq_last_12m', 'pass__chargeoff_within_12_mths', 'pass__mort_acc', 'pass__pub_rec_bankruptcies', 'pass__tax_liens', 'pass__tot_hi_cred_lim', 'pass__total_bal_ex_mort'], dtype='object')

Pipeline(steps=[('preprocessing',
                 FunctionTransformer(func=<function convert_to_category at 0x7f1e902ef2e0>)),
                ('feat_trans_loan_grade', LoanGradeTransformer()),
                ('feat_trans_dti_inc_joint',
                 JointApplicationTransformer(option=<Options.MERGE_JOINT_FIELDS: 1>)),
                ('feat_trans_fico_score', FICOScoreTransformer()),
                ('feat_trans_delinquency',
                 DelinquencyTransformer(o...
                              feature_types=None, gamma=0.4, grow_policy=None,
                              importance_type=None,
                              interaction_constraints=None, learning_rate=0.01,
                              max_bin=None, max_cat_threshold=None,
                              max_cat_to_onehot=None, max_delta_step=None,
                              max_depth=4, max_leaves=None,
                              min_child_weight=None, missing=nan,
                              monotone_constraints=None, multi_strategy=None,
                              n_estimators=250, n_jobs=None,
                              num_parallel_tree=None, random_state=None, ...))])

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:443: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_yticklabels(

	Feature	Importance
0	term_parser__term	0.208978
1	emp_length_parser__emp_length	0.000890
2	zip__zip_code	0.055365
3	pass__loan_amnt	0.003403
4	pass__installment	0.025518
5	pass__home_ownership	0.004319
6	pass__annual_inc	0.005176
7	pass__verification_status	0.052062
8	pass__purpose	0.044285
9	pass__addr_state	0.000000
10	pass__dti	0.013006
11	pass__delinq_2yrs	0.000000
12	pass__fico_range_low	0.226614
13	pass__fico_range_high	0.000000
14	pass__inq_last_6mths	0.048834
15	pass__mths_since_last_delinq	0.002939
16	pass__mths_since_last_record	0.002535
17	pass__open_acc	0.003271
18	pass__pub_rec	0.000000
19	pass__revol_bal	0.006487
20	pass__revol_util	0.009920
21	pass__total_acc	0.006571
22	pass__initial_list_status	0.045193
23	pass__last_fico_range_high	0.113736
24	pass__last_fico_range_low	0.000000
25	pass__collections_12_mths_ex_med	0.003819
26	pass__mths_since_last_major_derog	0.004077
27	pass__application_type	0.000000
28	pass__verification_status_joint	0.001646
29	pass__inq_fi	0.004504
30	pass__inq_last_12m	0.006604
31	pass__chargeoff_within_12_mths	0.000000
32	pass__mort_acc	0.004822
33	pass__pub_rec_bankruptcies	0.000000
34	pass__tax_liens	0.000000
35	pass__tot_hi_cred_lim	0.010484
36	pass__total_bal_ex_mort	0.002393
37	installment_income_ratio	0.047389
38	new_dti	0.035159

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:443: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_yticklabels(

	Feature	Importance
0	term_parser__term	0.117536
1	emp_length_parser__emp_length	0.015489
2	zip__zip_code	0.081638
3	pass__loan_amnt	0.030122
4	pass__installment	0.029918
5	pass__home_ownership	0.014910
6	pass__annual_inc	0.023561
7	pass__verification_status	0.029583
8	pass__purpose	0.029723
9	pass__addr_state	0.025503
10	pass__dti	0.021842
11	pass__delinq_2yrs	0.017116
12	pass__fico_range_low	0.098872
13	pass__fico_range_high	0.000000
14	pass__inq_last_6mths	0.032239
15	pass__mths_since_last_delinq	0.015419
16	pass__mths_since_last_record	0.017577
17	pass__open_acc	0.014481
18	pass__pub_rec	0.010052
19	pass__revol_bal	0.017835
20	pass__revol_util	0.020697
21	pass__total_acc	0.016247
22	pass__initial_list_status	0.043172
23	pass__last_fico_range_high	0.036890
24	pass__last_fico_range_low	0.000000
25	pass__collections_12_mths_ex_med	0.015822
26	pass__mths_since_last_major_derog	0.016355
27	pass__application_type	0.013772
28	pass__annual_inc_joint	0.017751
29	pass__dti_joint	0.014966
30	pass__verification_status_joint	0.021334
31	pass__inq_fi	0.018197
32	pass__inq_last_12m	0.023205
33	pass__chargeoff_within_12_mths	0.018146
34	pass__mort_acc	0.015301
35	pass__pub_rec_bankruptcies	0.013725
36	pass__tax_liens	0.012994
37	pass__tot_hi_cred_lim	0.022074
38	pass__total_bal_ex_mort	0.015938

/home/paulius/data/projects/m3_s3_lending/shared/graph.py:443: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_yticklabels(

	Feature	Importance
0	term_parser__term	0.095704
1	emp_length_parser__emp_length	0.015351
2	zip__zip_code	0.058690
3	pass__loan_amnt	0.039953
4	pass__installment	0.032362
5	pass__home_ownership	0.013563
6	pass__annual_inc	0.026152
7	pass__verification_status	0.035683
8	pass__purpose	0.030756
9	pass__addr_state	0.025862
10	pass__dti	0.026358
11	pass__delinq_2yrs	0.016695
12	pass__fico_range_low	0.109257
13	pass__fico_range_high	0.000000
14	pass__inq_last_6mths	0.033524
15	pass__mths_since_last_delinq	0.014848
16	pass__mths_since_last_record	0.016572
17	pass__open_acc	0.013989
18	pass__pub_rec	0.015962
19	pass__revol_bal	0.018716
20	pass__revol_util	0.023541
21	pass__total_acc	0.018502
22	pass__initial_list_status	0.046784
23	pass__last_fico_range_high	0.043913
24	pass__last_fico_range_low	0.000000
25	pass__collections_12_mths_ex_med	0.013236
26	pass__mths_since_last_major_derog	0.016168
27	pass__application_type	0.008761
28	pass__annual_inc_joint	0.018451
29	pass__dti_joint	0.020647
30	pass__verification_status_joint	0.018694
31	pass__inq_fi	0.018222
32	pass__inq_last_12m	0.022297
33	pass__chargeoff_within_12_mths	0.000000
34	pass__mort_acc	0.021567
35	pass__pub_rec_bankruptcies	0.017125
36	pass__tax_liens	0.014336
37	pass__tot_hi_cred_lim	0.021493
38	pass__total_bal_ex_mort	0.016266